H2O Driverless AI vs TIBCO Spotfire
H2O Driverless AI
h2o.ai
TIBCO Spotfire
spotfire.comSide by side
| Figure | H2O Driverless AI | TIBCO Spotfire |
|---|---|---|
| Price from | — | $250/mo |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Augmented Analytics Software | 8.0 (#12) | 8.5 (#4) |
| Deployment | Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. | Spotfire Enterprise supports deployment across cloud, on-premises, or hybrid environments. |
| Founded | 2012 | 1996 |
| Headquarters | Mountain View, California, United States | Spotfire lists Fort Lauderdale, Florida as a location and gives 851 Cypress Creek Road as its United States address. |
| Integrations | Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. | The Spotfire energy data sheet lists integrations including Snowflake, AVEVA PI, ESRI, Cognite, SQL Server, Apache Spark SQL, and SharePoint, plus JDBC or ODBC data sources. |
| Intended users | H2O describes data scientists, DevOps and IT professionals, and business analysts as audiences for Driverless AI. | Spotfire describes its audience as engineers, scientists, operators, and domain experts working in complex, data-rich environments. |
| What it does | Driverless AI automates feature engineering, model building, visualization, and interpretability. | Spotfire is a visual industrial analytics platform combining visual exploration, advanced analytics, data wrangling and explainable AI for complex operational decisions. |
Plans
TIBCO Spotfire
- Spotfire Industry Pro trialFree
- Spotfire Analytics$3,000 a year
- Spotfire EnterprisePriced on request
- Spotfire Industry ProPriced on request
In their own words
H2O Driverless AI
H2O Driverless AI automates machine-learning work from feature engineering and model building through validation, tuning, selection, visualization, interpretability, and scoring-pipeline generation. It explains model output at both global and individual-prediction levels. Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. Supported hardware includes NVIDIA GPUs, IBM Power 9, and Intel x86 CPUs; GPU-accelerated algorithms include XGBoost, TensorFlow, and LightGBM. Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. Data sources include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table. Cloud installation options are H2O AI Cloud, AWS, Azure, and Google Cloud. H2O offers a 21-day public-cloud evaluation license and a guided two-hour cloud test drive. Commercial licensing requires contacting sales; no price is listed. The default installation disables security, so production use calls for secure installation.
TIBCO Spotfire
TIBCO Spotfire is a visual industrial analytics platform for exploring data and supporting decisions in complex operations. Spotfire Analytics lets users examine time-series, spatial and multivariate data through interactive filtering, drill-down and scenario comparison. Visual AI and Insight Agents can recommend patterns, anomalies and next steps during exploration. Industry Pro adds capabilities for energy and manufacturing, including advanced time-series analytics and specialized geoanalytics. Listed connections include Snowflake, AVEVA PI, ESRI, Cognite, SQL Server, Apache Spark SQL and SharePoint, along with JDBC or ODBC sources. Push Compute runs analytics and transformations inside Snowflake and Databricks. Enterprise supports governance of data, users and analytical assets, with deployment in cloud, on-premises or hybrid environments. Analytics and Industry Pro include a Windows application and a kit for browser use; mobile applications are available for iOS and Android. Extensions, Python and R data functions and developer APIs are also described. The 30-day trial provides Industry Pro access, including Spotfire and Statistica. Spotfire Analytics costs $3,000 per user per year, excluding tax.